Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19)
Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19...
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Veröffentlicht in: | International journal of environmental research and public health 2021-03, Vol.18 (5), p.2772 |
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description | Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19. |
doi_str_mv | 10.3390/ijerph18052772 |
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It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph18052772</identifier><identifier>PMID: 33803339</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Adults ; Aged ; Biomarkers ; Body weight loss ; C-reactive protein ; Cholesterol ; Convalescence ; Coronaviruses ; Correlation analysis ; COVID-19 ; Diabetes mellitus ; Gastrointestinal symptoms ; Geriatric Assessment ; Humans ; Hypertension ; L-Lactate dehydrogenase ; Lactate dehydrogenase ; Lactic acid ; Literature reviews ; Lymphocytes ; Male ; Malnutrition ; Malnutrition - diagnosis ; Malnutrition - epidemiology ; Mortality ; Nutrition ; Nutrition Assessment ; Nutrition monitoring ; Nutritional Status ; Older people ; Review ; Risk Assessment ; SARS-CoV-2 ; Serum albumin ; Weight loss</subject><ispartof>International journal of environmental research and public health, 2021-03, Vol.18 (5), p.2772</ispartof><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-4c2a0bb5f18aa3950479740bc470b60a01d3b142c8ef76b39cc44e6cdd684c403</citedby><cites>FETCH-LOGICAL-c418t-4c2a0bb5f18aa3950479740bc470b60a01d3b142c8ef76b39cc44e6cdd684c403</cites><orcidid>0000-0002-7209-3790 ; 0000-0002-6448-8282</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967488/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967488/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,27926,27927,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33803339$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ali, Amira Mohammed</creatorcontrib><creatorcontrib>Kunugi, Hiroshi</creatorcontrib><title>Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19)</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.</description><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Biomarkers</subject><subject>Body weight loss</subject><subject>C-reactive protein</subject><subject>Cholesterol</subject><subject>Convalescence</subject><subject>Coronaviruses</subject><subject>Correlation analysis</subject><subject>COVID-19</subject><subject>Diabetes mellitus</subject><subject>Gastrointestinal symptoms</subject><subject>Geriatric Assessment</subject><subject>Humans</subject><subject>Hypertension</subject><subject>L-Lactate dehydrogenase</subject><subject>Lactate dehydrogenase</subject><subject>Lactic acid</subject><subject>Literature reviews</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Malnutrition - diagnosis</subject><subject>Malnutrition - epidemiology</subject><subject>Mortality</subject><subject>Nutrition</subject><subject>Nutrition Assessment</subject><subject>Nutrition monitoring</subject><subject>Nutritional Status</subject><subject>Older people</subject><subject>Review</subject><subject>Risk Assessment</subject><subject>SARS-CoV-2</subject><subject>Serum albumin</subject><subject>Weight loss</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkctLAzEQxoMoPqpXjxLwoofVySabTS5CqU8oVvCBt5BNU5uy3azJruJ_72qrWE8zML_vY2Y-hPYJnFAq4dTNbKinRECW5nm6hrYJ55AwDmT9T7-FdmKcAVDBuNxEW5QKoJ1-Gz336zp4baY24sbj27YJrnG-0iW-N8HaylUv2FX4TjfOVk3E766Z4oEPHfLmQhvxuYtWR4tTIBIfDUZPN-cJkce7aGOiy2j3lrWHHi8vHgbXyXB0dTPoDxPDiGgSZlINRZFNiNCaygxYLnMGhWE5FBw0kDEtCEuNsJOcF1Qaw5jlZjzmghkGtIfOFr51W8zt2HRLBl2qOri5Dh_Ka6dWJ5Wbqhf_pnLJcyZEZ3C0NAj-tbWxUXMXjS1LXVnfRpVmIDJBJKQdevgPnfk2dL_6phgVKRGyo04WlAk-xmAnv8sQUF-hqdXQOsHB3xN-8Z-U6CemN5J4</recordid><startdate>20210309</startdate><enddate>20210309</enddate><creator>Ali, Amira Mohammed</creator><creator>Kunugi, Hiroshi</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7209-3790</orcidid><orcidid>https://orcid.org/0000-0002-6448-8282</orcidid></search><sort><creationdate>20210309</creationdate><title>Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19)</title><author>Ali, Amira Mohammed ; 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It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33803339</pmid><doi>10.3390/ijerph18052772</doi><orcidid>https://orcid.org/0000-0002-7209-3790</orcidid><orcidid>https://orcid.org/0000-0002-6448-8282</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adults Aged Biomarkers Body weight loss C-reactive protein Cholesterol Convalescence Coronaviruses Correlation analysis COVID-19 Diabetes mellitus Gastrointestinal symptoms Geriatric Assessment Humans Hypertension L-Lactate dehydrogenase Lactate dehydrogenase Lactic acid Literature reviews Lymphocytes Male Malnutrition Malnutrition - diagnosis Malnutrition - epidemiology Mortality Nutrition Nutrition Assessment Nutrition monitoring Nutritional Status Older people Review Risk Assessment SARS-CoV-2 Serum albumin Weight loss |
title | Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19) |
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